Nov 19, 2020 · In this work, we propose an MKL method we refer to as quantum MKL, which combines multiple quantum kernels. Our method leverages the power of ...
Dec 1, 2023 · We propose a hybrid, quantum multiple kernel learning (QMKL) methodology that can improve classification quality over a single kernel approach.
We propose an MKL method we refer to as quantum MKL, which combines multiple quantum kernels. Our method leverages the power of deterministic quantum computing.
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We propose a theoretical analysis of quantum projection learning (QPL) that employs multiple kernels, highlighting its advantages through representation error ...
Taking inspiration from techniques in classical machine learning, this work investigates simulated quantum kernels in the context of multiple kernel learning ( ...
In this notebook, you will learn how to define quantum kernels using qiskit-machine-learning and how these can be plugged into different algorithms.
Missing: Multiple | Show results with:Multiple
Train a quantum machine learning model based on the idea of quantum kernels.
Nov 30, 2023 · We propose a hybrid, quantum multiple kernel learning (QMKL) methodology that can improve classification quality over a single kernel approach.
Duration: 26:11
Posted: Feb 15, 2021
Posted: Feb 15, 2021
Multiple kernel learning (MKL) is a machine learning approach that allows for the integration of multiple features, such as genes, proteins, and metabolites,